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Modeling infectious disease dynamics in the complex landscape of global health
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Isaac Newton Institute IDD Collaboration (Including:
). (2015) Modeling infectious disease dynamics in the complex landscape of global health. Science, Volume 347 (Number 6227). doi:10.1126/science.aaa4339 ISSN 0036-8075.Research output not available from this repository.
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Official URL: http://dx.doi.org/10.1126/science.aaa4339
Abstract
Despite some notable successes in the control of infectious diseases, transmissibility pathogens still pose an enormous threat to human and animal health. The ecological and evolutionary dynamics of infections play out on a wide range of interconnected temporal, organizational, and spatial scales, which span hours to months, cells to ecosystems, and local to global spread. Moreover, some pathogens are directly transmitted between arthropod vectors, or can survive in environmental reservoirs. Many factors, including behaviour, elevate prevention and control from matters of national policy to international challenge. In the face of this complexity, mathematical models offer valuable tools for synthesizing information to understand epidemiological patterns, and for developing quantitative evidence for decision making in global health.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Science > Mathematics |
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Journal or Publication Title: | Science | ||||
Publisher: | American Association for the Advancement of Science | ||||
ISSN: | 0036-8075 | ||||
Official Date: | 13 March 2015 | ||||
Dates: |
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Volume: | Volume 347 | ||||
Number: | Number 6227 | ||||
DOI: | 10.1126/science.aaa4339 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) |
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